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Snehith Paduchuri

@snehithpaduchuri

Analytics Manager at Remitly building AI pricing agents; grew monthly revenue 32% and gross profit 41% through pricing and P&L ownership.

India

Message

At Remitly, I own pricing and P&L across major North American markets and built a three-person analytics team. Since taking ownership, monthly revenue grew 32% and gross profit 41%, alongside more than $1M a month in payout savings.

I built competitor-pricing models and a peak-day FX pricing framework across 22 markets, where retention increased 4–11% when the approach won. I also designed a geo-holdout to measure a $2.5M brand investment and launched lifecycle-based pricing for new-customer discounts.

I’m building AI agents and automated workflows for recurring pricing analysis. A pricing proposal that once took a week now ships in 1–2 days, and I packaged analyses into on-demand agent skills and a self-serve NPV payback tool.

At Flipkart, I worked across credit risk, payments experience, and growth, including a risk-segmentation model that saved 12 Cr in collection costs and an affordability strategy that generated 140 Cr in incremental revenue. Earlier, at Equifax and i3 Consulting, I developed fraud, credit-risk, and churn models, including an improved Equifax India bureau score.

Experience

Work history, roles, and key accomplishments

Current

Analytics Manager

Current

Remitly

Apr 2025 - Present (1 year 6 months)

Owns end-to-end pricing and P&L across North American markets, managing $2.6B in monthly payment volume. Built and led a 3-person analytics team, driving revenue growth of 32% and gross profit growth of 41%.

Pricing Strategy P&L management Price Elasticity Competitive Pricing Analysis Causal Inference A B Testing Geo Holdouts Machine Learning Claude Python SQL Prophet Anomaly Detection

Analytics Lead

Flipkart

Aug 2022 - Apr 2025 (2 years 8 months)

Led a team of 4 driving credit risk, payments-experience optimization, and growth across Pay Later, Co-Branded Credit Cards, Personal Loans, UPI, and Affordability. Productionized a LightGBM behavioral risk-segmentation model and built credit-risk-tiered affordability strategies.

Credit Risk Risk Segmentation LightGBM A B Testing Causal Inference Inverse Probability Weighting Marketing Mix Modeling Propensity Modeling SQL Python

Senior Business Analyst

Flipkart

Oct 2019 - Aug 2022 (2 years 10 months)

Conducted impact studies for Co-Branded Card and Pay Later adopters, securing CXO sponsorship and unlocking $36M in incremental revenue. Productionized a Random Forest propensity model and designed 20+ A/B tests to improve conversion rates.

A B Testing Propensity Modeling Random Forest NLP SQL Python Statistical Analysis Attribution Modeling

Consultant — Data Science

Equifax

Nov 2017 - Sep 2019 (1 year 10 months)

Built a Neural Network fraud-prediction model for an NBFC's personal-loan portfolio, reducing fraud rate by 120 bps. Improved the Equifax India bureau score and led credit-risk strategy for 10+ banks and NBFCs.

Neural Networks Fraud Detection Credit Risk Scorecard Development Machine Learning SQL Python

Business Analyst

i3 Consulting

Jul 2016 - Oct 2017 (1 year 3 months)

Developed and re-engineered 25+ statistical and judgmental models for churn and credit-risk management across global clients. Built churn prediction models for a Gulf retail-banking portfolio and implemented a Basel risk solution for a Southeast Asian bank.